Proceedings of IAHS
Proceedings of IAHS
PIAHS
Articles | Volume 376
Articles | Volume 376
https://doi.org/10.5194/piahs-376-51-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/piahs-376-51-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 376
01 Feb 2018
 | 01 Feb 2018

Forecasting domestic water demand in the Haihe river basin under changing environment

Xiao-Jun Wang, Jian-Yun Zhang, Shamsuddin Shahid, Yu-Xuan Xie, and Xu Zhang

Viewed

Total article views: 3,104 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,360 670 74 3,104 102 106
  • HTML: 2,360
  • PDF: 670
  • XML: 74
  • Total: 3,104
  • BibTeX: 102
  • EndNote: 106
Views and downloads (calculated since 01 Feb 2018)
Cumulative views and downloads (calculated since 01 Feb 2018)

Viewed (geographical distribution)

Total article views: 2,437 (including HTML, PDF, and XML) Thereof 2,415 with geography defined and 22 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 30 Mar 2025
Download
Short summary
A statistical model has been developed for forecasting domestic water demand in Haihe river basin of China due to population growth, technological advances and climate change. Historical records of domestic water use, climate, population and urbanization are used for the development of model. An ensemble of seven general circulation models (GCMs) namely, BCC-CSM1-1, BNU-ESM, CNRM-CM5, GISS-E2-R, MIROC-ESM, PI-ESM-LR, MRI-CGCM3 were used for the projection of climate and the changes in water demand.
Read more
Share